High Performance On Demand Solutions

An IBM Redbooks publication

Published 25 August 2005, updated 09 June 2009

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ISBN-10: 0738493627
ISBN-13: 9780738493626
IBM Form #: SG24-6644-00
(180 pages)

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Authors: Joe DeCarlo, HiPODs Team


Implementing an On Demand Operating Environment is fundamental to becoming an On Demand Business. Such an environment enables a business to implement new decisions in a timely manner. An On Demand Operating Environment is built on the concepts of virtualization, provisioning, and orchestration of resources, tied together loosely using a service-oriented architecture.

  • Virtualization allows resources to be manipulated in a uniform and flexible manner leading to automation. Previously manual tasks can be run 24 hours-a-day with little supervision.
  • Provisioning tasks, which can take up to two weeks, can be completed with fewer errors in less than a couple of hours. Virtualization and provisioning are prerequisites for orchestration.
  • Orchestration in an On Demand Operating Environment is the ability to repurpose and align hardware and software resources to meet fluctuating traffic conditions, with no manual intervention, while meeting service-level agreements for the application.

This IBM® Redbooks® publication encompasses a collection of white papers that were published in 2004 and early 2005 by the HiPODs team. Most of the papers pertain to the major concepts of the On Demand Operating Environment. This book consists of the following parts:

  • Part 1: Optimization of IT resources
  • Part 2: Business process optimization
  • Part 3: Solution performance, scalability, and high availability

Table of contents

Part 1. Optimization of IT resources
Chapter 1. Virtualization and automation: Best practices for a WebSphere Application Server environment
Chapter 2. Case study: WebSphere Application Server Version 5
Chapter 3. Case study: Implementing multiple network deployment managers on a single node
Chapter 4. Provisioning best practices for on demand data centers
Chapter 5. Orchestration for on demand data centers
Chapter 6. Case study: Integrating WADO with EWLM

Part 2. Business process optimization
Chapter 7. Automating to become an On Demand Business

Part 3. Solution performance, scalability, and high availability
Chapter 8. Systems administration and scalability of JVMs with WebSphere Application Server V5
Chapter 9. Technique for monitoring WebSphere Application Server workload management
Chapter 10. VMware ESX Server 2: Performance and scalability evaluation
Chapter 11. Performance test on a financial information system using WebSphere Business Integration
Appendix A. WebSphere Application Server V5 concepts

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